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Data Visualization in Microsoft PowerPoint

Kim Webb

At the end of this project you will be able to create a simple PowerPoint presentation from scratch using different basic elements. First, you will learn how to create your PowerPoint presentation using text. Then, you will get to know options to improve your presentation by adding images and other visuals. Additionally, you will learn a few easy methods to make your slide transitions smoother and more appealing to your audience. Creating a Microsoft PowerPoint will allow you to be able to have the best visual support possible during your presentation. Visual support via Microsoft PowerPoint will ensure your audience stays engaged and attentive as well as interested.

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At the end of this project you will be able to create a simple PowerPoint presentation from scratch using different basic elements. First, you will learn how to create your PowerPoint presentation using text. Then, you will get to know options to improve your presentation by adding images and other visuals. Additionally, you will learn a few easy methods to make your slide transitions smoother and more appealing to your audience. Creating a Microsoft PowerPoint will allow you to be able to have the best visual support possible during your presentation. Visual support via Microsoft PowerPoint will ensure your audience stays engaged and attentive as well as interested.

The goal of this project is to teach you how to be successful with your presentations and how to make them more interesting so your audience can digest the information you are providing more easily and will also retain more of the information provided.

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What's inside

Syllabus

Project Overview
At the end of this project you will be able to create a simple PowerPoint presentation from scratch using different basic elements. First, you will learn how to create your PowerPoint presentation using text. Then, you will get to know options to improve your presentation by adding images and other visuals. Additionally, you will learn a few easy methods to make your slide transitions smoother and more appealing to your audience. Creating a Microsoft PowerPoint will allow you to be able to have the best visual support possible during your presentation. Visual support via Microsoft PowerPoint will ensure your audience stays engaged and attentive as well as interested. The goal of this project is to teach you how to be successful with your presentations and how to make them more interesting so your audience can digest the information you are providing more easily and will also retain more of the information provided.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Students who want to create successful, engaging, and interesting presentations will benefit from this course
The subject matter of this course is highly relevant for higher education students, business people, and professionals who need to develop better presentation skills
The course also covers important aspects of visual support to ensure learner audiences stay interested and engaged

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Activities

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Career center

Learners who complete Data Visualization in Microsoft PowerPoint will develop knowledge and skills that may be useful to these careers:
Graphic designer
Graphic Designers are responsible for the visual style and aesthetics of marketing materials, brand identity packages, and other designs. A course in data visualization will teach you best practices for creating aesthetically pleasing and engaging visual aids, which can be applied in this role.
Marketing Specialist
Marketing Specialists create and execute marketing campaigns to promote brands and products. This course will teach you how to interpret and visualize data to create effective campaigns that resonate with your target audience.
Data Analyst
Data Analysts collect, analyze, and interpret data to identify trends and patterns. This course can teach you the basics of data visualization and how to create visual representations that clearly communicate your findings.
Business Analyst
Business Analysts use data to identify inefficiencies and areas for improvement within an organization. This course can help you develop the skills needed to gather, analyze, and interpret data, and present your findings in a way that helps businesses make better decisions.
Software Engineer
Software Engineers design and develop computer applications. This course can help you develop the skills needed to visualize data structures and algorithms, which can be helpful in designing and developing software.
Product Manager
Product Managers are responsible for the development and launch of new products. This course can help you develop the skills needed to gather, analyze, and present data to support product development decisions.
UX Designer
UX Designers focus on creating user-centered experiences for products and services. This course can help you develop the skills needed to visualize user data and create visual representations that communicate your findings to stakeholders.
Technical Writer
Technical Writers create documentation for software and hardware products. This course can help you develop the skills needed to create clear and concise visual aids that help users understand complex technical concepts.
Information Architect
Information Architects organize and present information in a clear and logical way. This course can help you develop the skills needed to create visual representations of information that are easy to understand and navigate.
Instructional Designer
Instructional Designers create educational materials and training programs. This course can help you develop the skills needed to create visual aids that effectively communicate learning objectives and engage learners.
Data Scientist
Data Scientists use data to solve complex business problems. This course can help you develop the skills needed to visualize data and uncover hidden patterns and trends.
Project Manager
Project Managers oversee the planning, execution, and closure of projects. This course can help you develop the skills needed to create visual representations of project plans and progress, which can help you keep stakeholders informed and on track.
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make informed decisions. This course can help you develop the skills needed to gather, analyze, and visualize data to create reports and dashboards that provide insights into business performance.
Statistician
Statisticians collect, analyze, and interpret data to make inferences about a population. This course can help you develop the skills needed to visualize data and create graphical representations of statistical findings.
Data Engineer
Data Engineers design and implement data pipelines that collect, transform, and store data for analysis. This course can help you develop the skills needed to visualize data flows and create diagrams that communicate complex data architectures.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Visualization in Microsoft PowerPoint.
Provides a comprehensive overview of data visualization principles and best practices. It covers topics such as data exploration, chart types, and design principles.
Provides practical guidance on how to choose the right chart type for your data and how to design charts that are effective and easy to understand.
Classic in the field of information visualization. It provides a comprehensive overview of the principles of perception, design, and evaluation.
Seminal work in the field of data visualization. It provides a wealth of practical advice on how to design effective and beautiful charts and graphs.
Comprehensive guide to machine learning for data science. It covers topics such as supervised learning, unsupervised learning, and deep learning.
Comprehensive guide to deep learning. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Provides a comprehensive overview of data science and its applications in business. It covers topics such as data mining, machine learning, and big data.

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